When Product Listings Start Working Against You
I manage product data for a mid-sized e-commerce operation, and for a while, things were running smoothly. Then the warnings started showing up inside Google Merchant Center — misrepresentation flags across dozens of listings. Products were being disapproved. Impressions were dropping. And the data we thought was clean clearly was not.
The issue was not just one or two bad entries. Titles were pulling in truncated or inaccurate strings. Descriptions had outdated information that no longer matched the actual product pages. Images were either mismatched or flagged for not meeting Google's policy requirements. It looked like a routine data hygiene problem at first, but the deeper I went, the more systemic it became.
What I Tried on My Own
I started by running a manual audit of the feed. I cross-referenced product titles against what was live on the site, corrected a few obvious mismatches, and resubmitted. Some items were approved. Most were not.
Then I went through Google's own documentation on misrepresentation policies. The rules around accurate pricing, shipping information, availability, and product identity are more granular than most people expect. A title that omits a key variant attribute can be flagged just as easily as one that includes outright incorrect information. I also realized that some of our feed rules in the Merchant Center supplemental feed were overriding correct values with outdated ones — a problem that was invisible unless you traced each attribute back through every data source.
I fixed what I could through the feed rules editor and made updates to our primary data source. But the disapprovals kept coming. There were structured data conflicts between the website markup and the feed, and in several cases the GTIN values were either missing or incorrect — which is a separate trigger for misrepresentation warnings under Google's product identity policies.
At this point, it was clear the problem needed someone with direct diagnostic experience in Merchant Center account recovery.
Bringing In the Right Help
After hitting a wall, I came across Helion360. I explained the situation — the volume of disapprovals, the layered data conflicts, the feed rule overrides — and their team took it from there.
They began with a full audit of the product feed, mapping each flagged item back to its root cause. The work covered title accuracy and formatting, description alignment with landing page content, image compliance, GTIN validation, structured data consistency, and shipping and availability attribute accuracy. They also identified several items where the condition field was either missing or incorrectly populated, which had been quietly triggering additional policy flags.
Beyond fixing the individual errors, they restructured the supplemental feed rules so that future updates from our primary source would not reintroduce the same conflicts. That part was particularly valuable — it was not just a repair, it was a correction to the process that was causing the damage.
What the Recovery Looked Like
Within a week of the fixes going live, disapproval rates dropped significantly. Products that had been sitting in a suspended state for weeks started getting reprocessed and approved. Impression share began recovering, and we could see the product listing ads returning to positions they had lost.
The more instructive part for me was understanding how easily these issues compound. A single bad feed rule can propagate errors across hundreds of SKUs. Mismatched structured data between a product page and a Merchant Center feed is not always visible to the person managing the catalog — it requires knowing exactly where to look and what Google's systems are comparing at the attribute level.
Product data accuracy in Google Merchant Center is not a one-time setup. It is an ongoing process that requires both technical precision and a clear understanding of Google's evolving policies. When the errors are systemic rather than isolated, the fix has to be equally systematic.
If you're dealing with similar Merchant Center misrepresentation issues and the standard fixes are not holding, Helion360 is worth reaching out to — their team diagnosed and resolved issues in my feed that I had been circling around for weeks without getting to the root cause. For deeper context on how systematic approaches work, see how I handled multi-source data extraction and raw data to actionable insights in similar scenarios.